Reviews (1-25 of 53)
- You can use Couchbase in numerous ways, such as key-value and document storage.
- Installation is easy and replication is very good.
- Very fast reads.
- Fail-over configuration is very easy to setup. There is too much documentation about this.
- Everything is working fine. We created 5 environments (DEV,QA,UAT,PRE-PROD,PROD).
- The user manual is not easy to understand. Almost all of the documentation is in English.
- You can only put text files that are JSON formatted. No XML support.
- Performance, it is way better than Mongo
- Ease of maintanence. Reduced factor in tryng to resolve issues.
- Scales easily and quickly.
- HA across DCs is really needed, which was provided.
- Reduction in pricing
- Slightly better documentation
- Allow community to submit/commit
- Performance of Couchbase is great
- The simplicity of using Couchbase is a major benefit with support for standards like JSON, and its handling of attachments makes it simple to adapt in web-based projects.
- If it had a smaller footprint that would make for easier deployment to multiple devices. This is especially true when compared to other solutions.
- More involvement in the open source community to promote out-of-the-box integration/support in popular frameworks.
The mentality of programmers should be changed to NoSQL approach, this is both its great virtue and defect.
- Customer response time
- Solid UI/UX for monitoring our data and vitals of the cluster
- Ease of mind with auto failovers for bad machines and simple swap/rebalance options
- The main downside is the same with any managed product. We sometimes want to have changes or updates to couchbase but need to wait for a new release version or some patch fix.
- It has a good customer support service that provides me immense solutions to my respective problems in just a few seconds.
- It ensures fast data access that is enough necessary for a good ongoing project.
- Every feature of this application is making my work more flexible and interesting with each passing day.
- For me there is nothing to worry about, and it only it has a little learning curve.
- It’s an easy and effective way to develop an application that is responsive enough to maintain the workload.
- It is the most convenient tool. I have never come across any problems yet.
Less suited in scenarios where lots of pre-existing relational data access models already exist in the application stack and need to be replaced in order for Couchbase to be implemented.
- It helps developers to develop an application that is responsive.
- It is flexible, to provide continuous delivery.
- It provides consistent performance.
- It is easy to deploy and use the software.
- It has a high learning curve.
- Data manipulation languages sometimes may fail to work.
- It performs the role of a key value store very well.
- It can be used as a system of engagement when architected properly.
- Provides reliable performance with scalability and adequate security.
- More practical/flexible licensing terms when used in a container environment.
- Comprehending logs and taking action at times is a very difficult activity.
- I wish Couchbase could be used as a system of record, I would be excited to see this happen.
- Couchbase is easy to set up in the cloud or on the on-premise servers. Within minutes you can get yourself a database that will cheap, conveniently accessed, and highly available. More than that - it'll retain the way to query it like a traditional RDMS.
- Couchbase is easy to maintain because high availability is one of its main features. You can build your Couchbase cluster on, say, 10 virtual boxes in the cloud, and have all the work on the database side done without any interruption to your applications.
- Couchbase has great customer support. They are always ready to help when you face a problem. Tickets opened easily and get a quick response on support.couchbase.com. Documentation is awesome.
- N1QL query language (very close to a standard SQL) is great when your application cannot rely entirely on key-value gets. This makes it easy to convert the tables of legacy RDMS and applications accessing it to the new generation of apps-database combo.
- General recommendation from Couchbase would be to have RAM on servers big enough to fit 20-25% of a dataset. This is promised to be driven down to just single percents with release 6.5 in summer of 2019. This can drive the cost of underlying servers dramatically for huge TB databases.
- Indexes are tied to specific servers. It'll be nice at some point to have them spread across all index nodes and be able to rebalance indexes the same way as data itself.
It is being used for all layers of our website, and by several other support systems, again mainly as a fast caching system across multiple servers in a cluster.
- Fast fetching of data
- Easy to implement N1QL queries
- Even faster queries when using indexes
- Easier method to increase the number of nodes in a cluster
- Official support for Node.JS sessions
- The ability to see when a document will expire
- Easy user interface.
- Bi-directional replication is good.
- Fails tolerance.
- Index of documents.
- A migration tool from other SGBDs to Couchbase.
- Rest API commands 100% compatible with MongoDB for migrations applications without change code.
- Certification's program.
Mobile integration is more or less.
- High throughput.
- Low latency.
- 0 downtime.
- Highly scalable.
- Data service is built for higher scale than the other services.
- Client SDK's are not at the same level of quality as the server.
- Analytics service is still not at the same level of quality and usefulness as the rest of the services.
- Testing and recommendations on cloud environment and not good enough.
Couchbase is less suited to smaller-scale systems as it is more complex to use and requires higher minimal resources than comparative solutions.
Less appropriate with transactional/relational use cases.
Not well: Whenever you need to do N1QL based on indexes on the values.
- Full-Text Search.
- Simple syntax.
- Shallow learning path.
- New features in supposedly stable releases commonly have major issues.
- The engineers Couchbase send out to help us use their products could be more technical.
- The Couchbase whitepaper is far from intuitive as to what is going on under the hood.
- Reliability: rarely goes down.
- Supporting legacy DB applications: Putting Couch in front of slow running applications seems to be a good fit.
- SDK: Documentation could be better. Questionable decision making in terms of how things work.
- Speed: It's being used for our caching solution, however, nobody probably should do this. Far better platforms that handle caching better.
- Community: Can be frustrating trying to solve problems seems the community and gender issues vary depending on the version.
- Tuning/troubleshooting tools: Improvement should happen in this area.
- Adoption: Small compared to other noSQL solutions.
It doesn't fit for structured data.
Couchbase makes business easy and simple. Since Couchbase uses NoSQL, it's very flexible and versatile to create and maintain documents where our clients require change over time. It`s extremely handy to modify the documents on the go. With no specific schema, we can work with different types of data with varying lengths. Seeking and accessing data takes less time compared to traditional RDBMS.
But Couchbase does introduce a few problems. Since schema is absent, there are no validations on the data. Triggering data inserts/updates needs to be handled separately. Short procedures have now become lengthy java classes. Unnesting and accessing elements of the array takes forever, and it usually fails with a timeout.
Considering the pros and cons, moving to Couchbase is a good decision for mobile and web developers, and for new companies.
- Schema-free. Today's changing demands in mobile and web development is well suited with the free document structure that Couchbase offers.
- Snappy results. Couchbase is faster than traditional RDBMS.
- Couchbase supports ACID “transactions” on a per-document level.
- Could benefit from triggers during transactions, so that the other documents get updated automatically, or to execute a particular logic.
- Schema type validation on individual fields, whilst providing a schema-free document structure, would be great.
Couchbase is not preferred to be implemented for legacy applications that are only needing maintenance.
Couchbase Scorecard Summary
Feature Scorecard Summary
Couchbase is a multi-model NoSQL database for mission-critical applications. It is designed to help deliver ever-richer and ever more personalized customer and employee experiences. Built with powerful NoSQL technology, the Couchbase Data Platform was architected on top of an open source foundation for the massively interactive enterprise. The geo-distributed Engagement Database promises to provide developer agility and manageability, as well as performance at any scale.
Customers include industry leaders Amadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Cisco, Comcast, Disney, DreamWorks Animation, eBay, Marriott, Neiman Marcus, Tesco, Tommy Hilfiger, United, Verizon, Wells Fargo, as well as hundreds of other household names. For more information, visit www.couchbase.com.
- Does not have featureFree Trial Available?No
- Has featureFree or Freemium Version Available?Yes
- Has featurePremium Consulting/Integration Services Available?Yes
- Entry-level set up fee?No
Couchbase Technical Details
|Operating Systems:||Windows, Linux, Mac|